DeepSig Advances AI-Native Open RAN and Spectrum Awareness Integration at MWC26

DeepSig, a pioneer in AI-native wireless communications, will showcase partner integrations at Mobile World Congress 2026 in Barcelona, demonstrating how AI-native technologies are being integrated across Open RAN Infrastructure and portable spectrum intelligence platforms.

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At MWC 2026, DeepSig will highlight demonstrations reflecting the growing ecosystem adoption of its AI-native software platforms.

Collaborating with NVIDIA, SRS, and the AI-RAN Alliance, DeepSig is demonstrating AI-RAN Solutions OmniPHY-5G^® and OmniPHY^® Axon, including a pre-6G fully learned waveform on top of the 3GPP Rel 17 GPU-accelerated OCUDU stack. OCUDU is an open-source software platform for base stations that accelerates innovation in mobile networks. Running on the compact NVIDIA DGX Spark, the demonstration highlights a scalable, carrier-grade base station supporting both commercial 5G and emerging 6G mobile devices.

By combining GPU-accelerated RAN with AI-RAN applications and an AI-Native Air Interface, the platform delivers next-generation functionality, throughput, capacity, and resilience. This 5G and 6G (MRSS) operation reflects the need for 6G to operate seamlessly with 5G connectivity and enables real-world deployment and validation. Powered by the robust Axon modem architecture trusted across advanced backhaul and autonomous platforms, DeepSig is paving the way for the next generation of software-defined connectivity.

Separately, DeepSig has partnered with PCTEL to integrate its OmniSIG® spectrum awareness software into PCTEL’s new SeeHawk® Scout tactical signal intelligence platform, which will showcase the real-time spectrum-monitoring capabilities of OmniSIG, integrated directly into a portable, autonomous heterodyne receiver. This demo highlights how AI-powered sensing, combined with advanced signal decoding, can detect and classify signals across FR1/FR2 cellular and non-cellular bands, identify interference sources, locate base stations, and deliver actionable intelligence to network operators, regulators, non-terrestrial networks, public safety, defense and military users, and aviation.

Together, these demonstrations illustrate how AI-native wireless intelligence can operate across diverse deployment models, from centralized Open RAN infrastructure to field-deployable spectrum monitoring systems operating AI-RAN seamlessly in platforms.

“Our focus is on embedding intelligence directly into wireless systems,” said Jim Shea, CEO of DeepSig. “Whether operating inside open CU/DU architectures or within portable spectrum intelligence platforms, AI-native processing enables faster signal understanding, improved interference detection, and more adaptive network performance. These collaborations reflect how ecosystem partners are integrating AI directly into real-world wireless deployments.”

The demonstrations will highlight DeepSig’s capabilities, including:

• Neural receiver-based physical layer processing within Open RAN environments
• Real-time spectrum sensing and signal classification
• Interference detection and localization
• Integration across commercial and mission-critical spectrum use cases

As spectrum becomes more crowded and dynamic and as networks continue evolving toward software-defined architectures, DeepSig’s AI-native platforms support scalable deployment across infrastructure, edge, and portable systems.

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